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Made With Ml
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ai For Beginners
12 Weeks, 24 Lessons, AI for All!
Dive Into Dl Pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
YSDA course in Natural Language Processing
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Code for Tensorflow Machine Learning Cookbook
Tensorflow 2.x Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Data augmentation for NLP
Collection of useful data science topics along with articles, videos, and code
Dive Into Dl Tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
A Code-First Introduction to NLP course
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
God Level Data Science Ml Full Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Ailearning Theory Applying
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Deepnlp Models Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
👩🏫 Advanced NLP with spaCy: A free online course
Aws Machine Learning University Accelerated Nlp
Machine Learning University: Accelerated Natural Language Processing Class
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
The Python Code Tutorials
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Efficient few-shot learning with Sentence Transformers
General Assembly's 2015 Data Science course in Washington, DC
Awesome Pytorch List Cnversion
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
Nlp Models Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Awesome Embedding Models
A curated list of awesome embedding models tutorials, projects and communities.
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Open Machine Learning course
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Practical Nlp Code
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Text Analytics With Python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Natural Language Processing
Resources for "Natural Language Processing" Coursera course.
Awesome Google Colab
Google Colaboratory Notebooks and Repositories (by @firmai)
BERT score for text generation
Korean BERT pre-trained cased (KoBERT)
Deep Learning Experiments
Videos, notes and experiments to understand deep learning
An NLP workshop about concrete solutions to real problems
Spark Nlp Workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Neural question generation using transformers
A list of NLP(Natural Language Processing) tutorials
Data Science Portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Github repo with tutorials to fine tune transformers for diff NLP tasks
Quiz & Assignment of Coursera
📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
A collection of notebooks for Natural Language Processing from NLP Town
Hate Speech And Offensive Language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
Natural Language Processing Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Build a bot that speaks like you!
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Answers for Quizzes & Assignments that I have taken
An Easy-to-use Knowledge Editing Framework for LLMs.
Treasure Of Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Deeplearning.ai Natural Language Processing Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Hands On Nltk Tutorial
The hands-on NLTK tutorial for NLP in Python
Fullstack Data Engineer
Medical Q&A with Deep Language Models
Automatically generate headlines to short articles
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
SpaCy 中文模型 | Models for SpaCy that support Chinese
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
A deep dive into embeddings starting from fundamentals
Building A Simple Chatbot In Python Using Nltk
Building a Simple Chatbot from Scratch in Python (using NLTK)
Deep NLP Course
Attention Networks For Classification
Hierarchical Attention Networks for Document Classification in PyTorch
Simple XLNet implementation with Pytorch Wrapper
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Transformers For Nlp 2nd Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
Pytorch Bert Crf Ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
Data extraction from documents with ML
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Tensorflow Nlp Tutorial
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT와 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
A repository containing tutorials for practical NLP using PyTorch
Keywords to Sentences
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
Python Jupyter Notebook (21,304)
Jupyter Notebook Machine Learning (8,463)
Python Natural Language Processing (7,212)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Jupyter Notebook Data Science (5,490)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Pytorch (4,710)
Jupyter Notebook Convolutional Neural Networks (4,072)
Jupyter Notebook Neural (3,939)
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