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fsds_cleaning_env
303 kB
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2 contributors
History:
6 commits
israaaML
Claude Sonnet 4.6
add compare_agents.py: 4-way benchmark (Random/Heuristic/SFT/GRPO)
2968ead
6 months ago
configs
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
examples
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
server
fix: sanitize numpy/pandas types in submit_solution JSON serialization
6 months ago
tests
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
training
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
.dockerignore
80 Bytes
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
.gitattributes
1.52 kB
initial commit
6 months ago
.gitignore
109 Bytes
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
AGENT_GUIDE.md
17.5 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
AGENT_PLAN.md
11 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
Dockerfile
574 Bytes
Upload folder using huggingface_hub
6 months ago
FINAL_REPORT.md
8.09 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
README.md
9.69 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
__init__.py
520 Bytes
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
agents.py
16.9 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
benchmark_guides.md
4.42 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
client.py
502 Bytes
Upload folder using huggingface_hub
6 months ago
compare_agents.py
7.33 kB
add compare_agents.py: 4-way benchmark (Random/Heuristic/SFT/GRPO)
6 months ago
curriculum.py
8.6 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
dataset_generators.py
16.7 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
demonstrations.py
18.5 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
evaluate_agent.py
6.03 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
evaluation_tasks.py
2.21 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
metrics.py
4.65 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
model.py
106 Bytes
Upload folder using huggingface_hub
6 months ago
models.py
1.17 kB
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6 months ago
openenv.yaml
100 Bytes
Upload folder using huggingface_hub
6 months ago
plan_results.md
22.5 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
project_recommendations.md
7.36 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
pyproject.toml
909 Bytes
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
results_heuristic.json
14.4 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
results_llm.json
12.1 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
results_random.json
13.9 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
reward.py
2.17 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago
training_colab.py
16 kB
v3: benchmark results, final report, agent/eval improvements, smoke test fixes
6 months ago
training_sft.py
7.37 kB
v2: curriculum scheduling, SFT pipeline, reward redesign, agent guide
6 months ago