[EMNLP2024] Benchmark for "Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark"

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …

DeLighT: Very Deep and Light-Weight Transformers

llama3 implementation one matrix multiplication at a time

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A system for quickly generating training data with weak supervision

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Perform data science on data that remains in someone else's server

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Multiple implementations for abstractive text summurization , using google colab

Course project use Jsp and Servlet, MySQL database to create Shopping website.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

A toolkit for building self-defending applications through real-time event detection and response