DeepDriving

3D-deep-learning

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

glow

Compiler for Neural Network hardware accelerators

KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

LiDAR-LLM

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

DeepDriving/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepDriving/glow

Compiler for Neural Network hardware accelerators

DeepDriving/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

DeepDriving/Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

DeepDriving/Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

DeepDriving/Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

DeepDriving/BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

DeepDriving/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

DeepDriving/ColossalAI

Making large AI models cheaper, faster and more accessible

DeepDriving/Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

DeepDriving/CVPR2022-Autonomous-Driving

DeepDriving/CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

DeepDriving/DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

DeepDriving/FasterTransformer

Transformer related optimization, including BERT, GPT

DeepDriving/latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

DeepDriving/llama

Inference code for LLaMA models

DeepDriving/llama2.c

Inference Llama 2 in one file of pure C

DeepDriving/LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

DeepDriving/Megatron-LM

Ongoing research training transformer models at scale

DeepDriving/minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

DeepDriving/OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

DeepDriving/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

DeepDriving/paper-reading

深度学习经典、新论文逐段精读

DeepDriving/RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

DeepDriving/spconv

Spatial Sparse Convolution Library

DeepDriving/stable-diffusion

Latent Text-to-Image Diffusion

DeepDriving/ULIP

DeepDriving/vision

Datasets, Transforms and Models specific to Computer Vision

DeepDriving/workshops

This is a repository for all workshop related materials.

DeepDriving/xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.