Starred repositories
A Collection of Variational Autoencoders (VAE) in PyTorch.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
TensorFlow code and pre-trained models for BERT
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Pytorch implementation of convolutional neural network visualization techniques
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Pruning Filter in Filter(NeurIPS2020)
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Pytorch implementation of NetVlad including training on Pittsburgh.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
Deep Speaker: an 952D End-to-End Neural Speaker Embedding System.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
GPU Accelerated t-SNE for CUDA with Python bindings
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目
Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> …
Explaining a black-box using Deep Variational Information Bottleneck Approach
Pytorch implementation of cnn network
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
The fastai book, published as Jupyter Notebooks