jvhuang1786's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
guidance-ai/guidance
A guidance language for controlling large language models.
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Lunakepio/Mario-Kart-3.js
huggingface/smol-course
A course on aligning smol models.
langchain-ai/rag-from-scratch
mito-ds/mito
The mitosheet package, trymito.io, and other public Mito code.
huggingface/setfit
Efficient few-shot learning with Sentence Transformers
datawithdanny/sql-masterclass
CiaraStrawberry/TemporalKit
An all in one solution for adding Temporal Stability to a Stable Diffusion Render via an automatic1111 extension
protectai/llm-guard
The Security Toolkit for LLM Interactions
Raudaschl/rag-fusion
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.
OWASP/www-project-top-10-for-large-language-model-applications
OWASP Foundation Web Respository
koaning/bulk
A Simple Bulk Labelling Tool
vi3k6i5/GuidedLDA
semi supervised guided topic model with custom guidedLDA
Vasanthengineer4949/NLP-Projects-NHV
NLP Projects playlist
RasaHQ/rasalit
Visualizations and helpers to improve and debug machine learning models for Rasa Open Source
PacktPublishing/Machine-Learning-Engineering-with-Python
Machine Learning Engineering with Python
koheiw/seededlda
LDA for semisupervised topic modeling
dipanjanS/low_code_machine_learning_pycaret_workshop_2022
This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hands-on notebooks leveraging PyCaret to compare, build, tune, evaluate and interpret machine learning models
hkproj/retrieval-augmented-generation-notes
Slides for "Retrieval Augmented Generation" video
alfredodeza/huggingface-deploy-azure
Deploy a HuggingFace container on Azure Container Apps
octanove/janlpbook-code
Public code for the book "Introduction to Japanese Natural Language Processing"
V-Sher/LightFm_HybridRecommenderSystem
Creating a hybrid recommender system using LightFM. Learn how to tackle the cold start problem.
PhiBrandon/resume_extraction_dspy
convoluted-turtle/Gen-AI-Anime-Recommendation-System
Gen-AI Anime Recommendation System
jvhuang1786/tensorflow2-crash-course
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API