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assignment1-2018

Assignment 1: automatic differentiation

assignment2-2018

(Spring 2018) Assignment 2: Graph Executor with TVM

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

bce-qianfan-sdk

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

bot66.github.io

memo

carla_leaderboard

carla leaderboard 2.0

cmake-demo

《CMake入门实战》源码

coco2voc

Yet another coco2voc.py, convert MSCOCO json to PASCAL VOC xml in Object Detection.

code-for-blog

Code samples from my blog

config

vim etc.

cs231n.github.io

Public facing notes page

cube-studio

cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式算法训练，超参搜索，推理服务VGPU，多集群调度，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型一键微调，llmops，私有知识库，AI应用商店，支持模型一键开发/推理/微调，私有化部署，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

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18个章节，50余万字。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[email protected] 版权所有，违权必究 Tan 2018.06

duckduckgo_search

Search for words, documents, images, videos, news, maps and text translation using the DuckDuckGo.com search engine. Downloading files and images to a local hard drive.

fopnp

Foundations of Python Network Programming (Apress) — scripts and examples

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gptinterviewer

📚 GPT Interviewer - Practice interview with AI interviewer based on job descriptions and resume

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

kitti_baseline

The "Hello World" approch of KITTI Benchmark

lav

(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.

llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

llama2.c

Inference Llama 2 in one file of pure C

lstms

Pytorch implementation of different LSTM based RNN architetures for different NLP tasks.

mlops-course

A project-based course on the foundations of MLOps with a focus on intuition and application.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mnistdiffusion

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

onnx2caffe

onnx模型转caffe模型的工具