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Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
Cross-platform, customizable ML solutions for live and streaming media.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
the resources about the application based on LLM with RAG pattern
World Model based Autonomous Driving Platform in CARLA 🚗
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
A LaTeX resume template designed for optimal information density and aesthetic appeal.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
About DNN compression and acceleration on Edge Devices.
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
This Github repository summarizes a list of research papers on AI security from the four top academic conferences.
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
A collection of AWESOME things about mixture-of-experts
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Code for visualizing the loss landscape of neural nets
Awesome Monocular 3D detection
A toolbox for box-supervised instance segmentation.
Utility functions for loading images from the KITTI dataset, plotting 2D and 3D bounding box and evaluating outputs according to the KITTI dataset metrics
The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"
Awesome box-supervised instance segmentation papers.
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.