100daysofmlcode
In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Lstm Char Cnn Tensorflow | 737 | 6 years ago | 17 | mit | Python | |||||
| in progress | ||||||||||
| Neural Summary Tensorflow | 276 | 7 years ago | 2 | Python | ||||||
| In progress | ||||||||||
| Nima.pytorch | 243 | 3 years ago | 18 | mit | Python | |||||
| NIMA: Neural IMage Assessment | ||||||||||
| Aquiladb | 200 | 4 years ago | 10 | apache-2.0 | JavaScript | |||||
| Drop in solution for Decentralized Neural Information Retrieval. Index latent vectors along with JSON metadata and do efficient k-NN search. | ||||||||||
| Neural Combinatorial Rl Tensorflow | 102 | 7 years ago | 3 | mit | Python | |||||
| in progress | ||||||||||
| Program Synthesis Rl Tensorflow | 64 | 6 years ago | Python | |||||||
| in progress | ||||||||||
| 100daysofmlcode | 45 | 5 years ago | 1 | Jupyter Notebook | ||||||
| In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing. | ||||||||||
| Deep Music Genre Classification | 20 | 7 years ago | gpl-3.0 | Python | ||||||
| 🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis | ||||||||||
| Pytorch Nn Scripts | 5 | 5 years ago | Jupyter Notebook | |||||||
| Scripts of neural architectures implemented in PyTorch | ||||||||||
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