timxzz
PhD student in machine learning at University of Tübingen, IMPRS-IS scholar. Interested in probabilistic models and their applications.
Tübingen, Germany
timxzz's Stars
ggerganov/llama.cpp
LLM inference in C/C++
meta-llama/llama
Inference code for Llama models
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
zsh-users/zsh-autosuggestions
Fish-like autosuggestions for zsh
karpathy/LLM101n
LLM101n: Let's build a Storyteller
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
akfamily/akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
abetlen/llama-cpp-python
Python bindings for llama.cpp
mit-han-lab/streaming-llm
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
open-compass/opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
google/BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
zhijing-jin/nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
AdamCobb/hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
meta-math/MetaMath
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
zc-alexfan/arctic
[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
Zeju1997/oft
Official implementation of "Controlling Text-to-Image Diffusion by Orthogonal Finetuning".
nrokh/ScientificFigures
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
wy1iu/butterfly-oft
Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
KellerJordan/REPAIR
Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
izmailovpavel/bnn_covariate_shift
Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
akfamily/akquant
AKQuant is a project about Quantitative Investment
yfeng95/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
sgp-bench/sgp-bench
timxzz/VML_Examples
Examples of Verbalized Machine Learning (VML)
Huanbo-Sun/HapticSensingLab
jzenn/svhn-remix
SVHN-Remix Dataset for our NeurIPS 2023 DistShift Workshop Paper: "The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch"
zc-alexfan/zc-alexfan.github.io