iNeil77

iNeil77's Stars

• ibm-granite/dolomite-engine

  A highly efficient library for large scale distributed training

  Language:Python3213

• bigcode-project/bigcodebench

  BigCodeBench: The Next Generation of HumanEval

  Language:Python13311

• jzhang38/EasyContext

  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

  Language:Python55133

• RLHFlow/RLHF-Reward-Modeling

  Recipes to train reward model for RLHF.

  Language:Python46838

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

  Language:Python1.8k172

• saltudelft/ml4se

  A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

  65392

• nomic-ai/contrastors

  Train Models Contrastively in Pytorch

  Language:Python47836

• bitextor/neural-document-aligner

  Document aligner which uses neural technologies to search matches across bilingual documents

  Language:Python72

• UKPLab/acl2024-ircoder

  Data creation, training and eval scripts for the IRCoder paper

  Language:Python7

• davidfraser/pyan

  pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

  Language:Python616122

• iNeil77/vllm-code-harness

  Run code inference-only benchmarks quickly using vLLM

  Language:Python7

• BK-SCOSS/sctokenizer

  A Source Code Tokenizer

  Language:Python134

• ASE-REEF/REEF-data

  12

• s2e-lab/SecurityEval

  Repository for "SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques" published in MSR4P&S'22.

  Language:Python5312

• FormAI-Dataset/FormAI-dataset

  17

• OpenLMLab/MOSS-RLHF

  MOSS-RLHF

  Language:Python1.2k93

• theblackcat102/evol-dataset

  evol augment any dataset online

  Language:Python557

• codefuse-ai/Awesome-Code-LLM

  A curated list of language modeling researches for code and related datasets.

  1.1k78

• NL2Code/NL2Code.github.io

  Large Language Models Meet NL2Code: A Survey

  Language:HTML3411

• tobymao/sqlglot

  Python SQL Parser and Transpiler

  Language:Python6.1k610

• FSoft-AI4Code/CodeText-parser

  ⚒️ Tree-sitter custom toolkit for extracting function and class from raw source file

  Language:Python355

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python10.3k616

• mbasso/awesome-wasm

  😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem.

  8.7k497

• Toloka/crowd-kit

  Control the quality of your labeled data with the Python tools you already know.

  Language:Python20515

• dmarx/anthology-of-modern-ml

  Collection of important articles to be treated as a textbook

  Language:Jupyter Notebook52328

• TQRG/security-patches-dataset

  ☠️ Ground-truth dataset for vulnerability prediction (known research datasets and data sources included such as NVD, CVE Details and OSV); tools to automatically update the data are provided.

  Language:Jupyter Notebook7925

• Jur1cek/gcj-dataset

  Collected solutions from Google Code Jam programming competition (2008-2020).

  589

• arpitbbhayani/system-design-questions

  Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass

  Language:Python1.8k395

• AgileRL/AgileRL

  Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

  Language:Python55341

• ManifoldRG/NEKO_Archive

  The NEKO Project is an open source effort to build a model of equivalent scale and capability as that reported in DeepMind’s 2022 Paper, A Generalist Agent .

  101