airscofield's Stars
ollama/ollama
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
open-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
karpathy/LLM101n
LLM101n: Let's build a Storyteller
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
netease-youdao/QAnything
Question and Answer based on Anything.
vvbbnn00/WARP-Clash-API
该项目可以让你通过订阅的方式使用Cloudflare WARP+，自动获取流量。This project enables you to use Cloudflare WARP+ through subscription, automatically acquiring traffic.
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
deepseek-ai/DeepSeek-V2
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
PyWavelets/pywt
PyWavelets - Wavelet Transforms in Python
PyPSA/PyPSA
PyPSA: Python for Power System Analysis
test-time-training/ttt-lm-pytorch
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
isafulf/inbox_cleaner
A python script to help manage a Gmail inbox by filtering out promotional emails using GPT-3 or GPT-4.
NREL-Sienna/PowerSystems.jl
Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
iancovert/sage
For calculating global feature importance using Shapley values.
cuemacro/tcapy
Open source TCA (transaction cost analysis) Python library for FX spot
Point72/csp
csp is a high performance reactive stream processing library, written in C++ and Python
pecu/FinancialVision
FinancialVision
jialuechen/quantorch
PyTorch for Derivatives Pricing
FinancialComputingUCL/LOBFrame
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
marcdemers/py_vollib_vectorized
A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.
kieranjwood/x-trend
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
mynl/aggregate
Tools for creating and working with aggregate probability distributions.
TCtobychen/ListFold
elsonidoq/py-l1tf
Python implementation of L1 trend filtering algorithm
minhdng/market_microstructure
MFM workshop project
ronakdm/lerm
Code and experiments for L-empirical risk minimization.
john-woolley/bs-rust
Black-Scholes and a Volatility Solver in Rust
quantsareus/introducing_a_fully_generalized_normal_distribution
Introducing the world's first fully generalized normal distribution, super-flexible in both, skewness and kurtosis. Basically will enable for automatic testing of skew __and also__ heavy tailed/ fat tailed distributions.