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Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
High-performance safetensors model loader
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnot…
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A high-performance C++ orderbook engine with microsecond-level latency, supporting multiple ordertypes, price-time priority matching and real time data integration from Binance
Profiling and inspecting memory in pytorch
Build and share data reports in 100% Python
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
yq is a portable command-line YAML, JSON, XML, CSV, TOML, HCL and properties processor
distributed dataflows with functional list operations for data processing with C++14
A survey and paper list of current Spatio-Temporal Foundation Models from the pipeline perspective with awesome resources (paper, code, survey, etc.).
Build high-performance AI models with modular building blocks
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
MoBA: Mixture of Block Attention for Long-Context LLMs
A C++20 library for fast serialization, deserialization and validation using reflection. Supports JSON, Avro, BSON, Cap'n Proto, CBOR, CSV, flexbuffers, msgpack, parquet, TOML, UBJSON, XML, YAML / …
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化,打破国内外量化金融行…
Helpful tools and examples for working with flex-attention
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉