charlie-xiaoqi Goto Github PK

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

applying_eanns

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

candlestick-pattern-scanner

CandlestickPatternScanner is a utility class that helps Expert Advisors and trading bots to efficiently detect reversal

cardetect

carnd

carnd-capstone

Programming a Real Self-Driving Car

carnd-capstone-2

CarND-Capstone project

carnd-capstone-wolf-pack

ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.

carnd-extended-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

carnd-kidnapped-vehicle-project

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

carnd-mercedes-sf-utilities

Tools for Sensor Fusion processing.

carnd-mpc-project

CarND Term 2 Model Predictive Control (MPC) Project

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-pid-control-project

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

carnd-unscented-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

chatgpt_trading_bot

This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube

clip

Contrastive Language-Image Pretraining

clipit

CLIP + VQGAN / PixelDraw

cnn-timeseries

Use CNN to classify time series data for activity recognition

custom-model-sagemaker

Example of deploying a custom model via sagemaker

dalle-flow

A Human-in-the-Loop workflow for creating HD images from text

dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

decisiontree

c++ implementation of decision tree algorithm

deep-reinforcement-learning-for-stock-trading-ddpg-algorithm-nips-2018

Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.