Pinned Repositories
100-nlp-papers
100 Must-Read NLP Papers
10ksldaviz
Visualize Risk Factors in 10K Filings
2023_ICCV_CoDis
ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples
2023_ICCV_HLC
ICCV'2023: Holistic Label Correction for Noisy Multi-Label Classification
2023_ICML_Which-is-Better-for-Learning-with-Noisy-Labels
agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
llama
Inference code for LLaMA models
precise
World beating online covariance and portfolio construction.
QuantLib
The QuantLib C++ library
Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
B-Zwarg's Repositories
B-Zwarg/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
B-Zwarg/ai-workshop-code
Code I wrote for my AI & LLM workshops
B-Zwarg/Anima
33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU
B-Zwarg/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
B-Zwarg/Awesome-Machine-Generated-Text
Continuously updated list of related resources for generative LLMs like GPT and their analysis and detection.
B-Zwarg/Awesome_papers_on_LLMs_detection
B-Zwarg/axolotl
Go ahead and axolotl questions
B-Zwarg/chatgpt_paper
Code examples to accompany the paper: "ChatGPT for Textual Analysis? How to use Generative LLMs in Accounting Research"
B-Zwarg/Diffusion-BERT
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
B-Zwarg/easyRAG
Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit
B-Zwarg/EVIL
B-Zwarg/GenAiGuidebook
B-Zwarg/grok-1
Grok open release
B-Zwarg/HyperMoE_early_version
B-Zwarg/kallisti-core
Core functionality of Kallisti Chaos Engineering Framework
B-Zwarg/llama-inference
A simple implementation of Llama 1, 2. Llama Architecture built from scratch using PyTorch all the models are built from scratch that includes GQA (Grouped Query Attention) , RoPE (Rotary Positional Embeddings) , RMS Norm, FeedForward Block, Encoder (as this is only for Inferencing the model) , SwiGLU (Activation Function),
B-Zwarg/llama-models
Utilities intended for use with Llama models.
B-Zwarg/local-llms-analyse-finance
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.
B-Zwarg/mamba
B-Zwarg/math2001
Lecture notes for a course on writing proofs, on paper and in the Lean proof assistant
B-Zwarg/MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
B-Zwarg/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
B-Zwarg/ML-Cheat-Codes
Machine Learning Cheatsheet 2024
B-Zwarg/notebooks
B-Zwarg/python-training
Python training for business analysts and traders
B-Zwarg/safety-rbr-code-and-data
Code and example data for the paper: Rule Based Rewards for Language Model Safety
B-Zwarg/shadowing
Implements Path Shadowing Monte-Carlo (PS-MC).
B-Zwarg/streaming-llm
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
B-Zwarg/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
B-Zwarg/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities