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This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding code links.
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
A low-cost, high-performance deep learning training framework that enables efficient 100B-scale model fine-tuning on a commodity server with a consumer- grade GPU and limited main memory capacity […
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
This is an official PyTorch Implementation of 'CLIP-Driven Multi-Scale Instance Learning for Weakly Supervised Video Anomaly Detection' in [ICME 2024]
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。
🤖 wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目，支持ChatGPT多轮对话能力，还可能是首个支持脑机交互的开源智能音箱项目。
ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]
Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
deep learning for image processing including classification and object-detection etc.
Implementation of "CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection" (ICIP 2023)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
This repository is for Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning(ICME 2020). The original paper can be found (https://ieeexplore.ieee.org/document/9102722)…
Code for the paper entitled "Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles" (ECCV 2022)
Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]