Linking pages
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- Building robust CLIs with Typer and Hydra | by Francisco Gonzalez | Apr, 2023 | Medium https://blog.panch.io/building-robust-clis-with-typer-and-hydra-a51a5b68969e 8 comments
- GitHub - vturrisi/solo-learn: solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning https://github.com/vturrisi/solo-learn 6 comments
- GitHub - eloialonso/diamond: DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. https://github.com/eloialonso/diamond 3 comments
- GitHub - allegroai/clearml: ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management https://github.com/allegroai/clearml 1 comment
- GitHub - facebookresearch/denoiser: Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities. https://github.com/facebookresearch/denoiser 1 comment
- GitHub - naver/splade: SPLADE: sparse neural search (SIGIR21, SIGIR22) https://github.com/naver/splade 1 comment
- GitHub - IFICL/images-that-sound: Official repo for Images that sound: a special spectrogram that can be seen as images and played as sound generated by diffusions https://github.com/IFICL/images-that-sound 1 comment
- Maze: Applied Reinforcement Learning for Real-World Problems | by enliteAI | Medium https://enliteai.medium.com/maze-applied-reinforcement-learning-for-real-world-problems-e1ab6da1e167 0 comments
- GitHub - TezRomacH/python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure. https://github.com/TezRomacH/python-package-template 0 comments
- GitHub - allegroai/clearml: ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management https://github.com/allegroai/trains 0 comments
- Structuring machine learning projects in Python | Pento Blog https://pento.ai/blog/machine-learning-projects-structure 0 comments
- GitHub - ml-tooling/best-of-python: 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly. https://github.com/ml-tooling/best-of-python 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Top Tools For Machine Learning Simplification And Standardization - MarkTechPost https://www.marktechpost.com/2022/11/05/top-tools-for-machine-learning-simplification-and-standardization/ 0 comments
- GitHub - facebookresearch/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. https://github.com/pytorch/fairseq 0 comments
- GitHub - shagunsodhani/ml-logger: Logging utility for ML experiments https://github.com/shagunsodhani/ml-logger 0 comments
- GitHub - facebookresearch/svoice: We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers. https://github.com/facebookresearch/svoice 0 comments
- GitHub - cstsunfu/intc: Python Intelligence Config Manager. A superset of hydra+pydantic+lsp https://github.com/cstsunfu/intc 0 comments
Linked pages
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/psf/black 8 comments
- GitHub - ashleve/lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡ https://github.com/ashleve/lightning-hydra-template 1 comment
- Reengineering Facebook AI’s deep learning platforms for interoperability https://ai.facebook.com/blog/reengineering-facebook-ais-deep-learning-platforms-for-interoperability 0 comments
- GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/Lightning-AI/lightning 0 comments
- Hydra | Hydra https://hydra.cc/ 0 comments
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