sridhama's Stars
graviraja/MLOps-Basics
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
gauravchak/two_tower_models
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
pytorch/torchrec
Pytorch domain library for recommendation systems
jacopotagliabue/recs-at-resonable-scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
NVIDIA-Merlin/Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
rapidfuzz/Levenshtein
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
roy-ht/editdistance
Fast implementation of the edit distance(Levenshtein distance)
lmcinnes/umap
Uniform Manifold Approximation and Projection
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
erikbern/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
axolotl-ai-cloud/axolotl
Go ahead and axolotl questions
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
TheAlgorithms/Python
All Algorithms implemented in Python
idiap/fast-transformers
Pytorch library for fast transformer implementations
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
OxWearables/ssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Fechin/reference
⭕ Share quick reference cheat sheet for developers.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
caglarcakan/stimulus_neural_populations
A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting electrical stimulation responses of neural populations.
JiaxuanYou/P-GNN
Position-aware Graph Neural Networks
fastai/nbdev_template
Template for nbdev projects
matplotlib/cheatsheets
Official Matplotlib cheat sheets