Stars
Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
Primer on CTC implementation in pure Python PyTorch code
Profiling and inspecting memory in pytorch
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Fast, general, and tested differentiable structured prediction in PyTorch
[DEPRECATED] 🔊️ Audio with fastaiv1
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
On the Variance of the Adaptive Learning Rate and Beyond
Turn Python scripts into handouts with Markdown and figures
Audio Denoising with Deep Network Priors
Implementation of soft parameter sharing for neural networks
GPU Accelerated t-SNE for CUDA with Python bindings
Latex code for making neural networks diagrams
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
[ICLR'19] Trellis Networks for Sequence Modeling
A highly efficient implementation of Gaussian Processes in PyTorch
Demo of running NNs across different frameworks
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
Deep universal probabilistic programming with Python and PyTorch
⚡ A Fast, Extensible Progress Bar for Python and CLI
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)